Coffea by Example

The following pages are rendered jupyter notebooks that provide an overview and example usage of Coffea features. Each notebook builds on the previous one so it is recommended to go through them in order.

• Reading data with coffea NanoEvents
• Applying corrections to columnar data
  • Coffea lookup_tools
    • Opening a root file and using it as a lookup table
    • Building and using your own correction from a histogram
  • CMS high-level tools
    • Applying energy scale transformations with jetmet_tools
    • Applying CMS b-tagging corrections with btag_tools
  • Using correctionlib
• Analysis tools and accumulators
  • Weights
  • PackedSelection
  • Accumulator semantics
    • Bringing it together
• Coffea Processors
  • Getting fancy

A few coffea features are now deprecated in favor of dedicated libraries:

• Coffea Histograms (deprecated)
  • Filling
  • Transformation
  • Plotting
  • Styling